A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency

The hybrid GIPSO-RFR model efficiently predicts PSC structures, reducing computational cost and optimizing device performance with near state-of-the-art power conversion efficiency.

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Publication Details

Journal
New Journal of Chemistry
Published
2025-01-01
DOI
https://doi.org/10.1039/d5nj00345h
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency

Kaustab Ghosh, Debashis De, Pratik De Sarkar, Subhajit Kar
New Journal of Chemistry
Perovskite Materials and Applications
article

A group improvised PSO-random forest-based intelligent hybrid approach for advancing perovskite solar cell efficiency

Kaustab Ghosh, Debashis De, Pratik De Sarkar, Subhajit Kar
article en

Abstract

The hybrid GIPSO-RFR model efficiently predicts PSC structures, reducing computational cost and optimizing device performance with near state-of-the-art power conversion efficiency.

New Journal of ChemistryVol. 49(28)
University of Engineering & Management (IN), Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Affordable and clean energy
Openalex Percentile: Top 87%
Perovskite Materials and Applications
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